Use Insights to review AI request activity and investigate usage patterns.
Example: Identify which AI features are used most
Scenario: AI owner wants to see request distribution across Ask Yarken, Copilots, and Automations during selected month.
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Set Date to month under review.
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Group AI Request Details by Feature and inspect Number of Requests.
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Use Specialist and User filters to isolate usage questions.
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Inspect duration for slow requests and compare with specific run evidence where available.
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Do not interpret request count as tokens consumed, AI operating cost, or successful outcomes. Use Run History for individual automation status.
Review requests
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Go to Admin > AI Studio > Observe > Insights.
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Set Date range.
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Select Add Filter if narrowing request activity.
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Review AI Request Details table.
Table includes Feature, Specialist, User, Automation, Date/Time, Duration, and Number of Requests.
Analyze table
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Use column filters to isolate feature, specialist, or user.
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Drag columns into row groups area to group request records.
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Use Columns panel to manage visible columns.
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Use Filters panel to refine records.
Interpretation
A request count measures recorded AI request activity, not automatically successful business outcomes. Use automation Run History for success and failure of individual automation executions.